摘要
【目的】针对新能源汽车电驱动桥振动噪声的抑制问题以及基于工程经验进行齿轮修形的局限性,提出一种基于支持向量回归(Support Vector Regression,SVR)的电驱动桥振动响应预测方法。【方法】首先,搭建电驱动桥齿轮传动系统模型,通过齿轮接触斑点仿真与试验验证了模型的有效性;其次,基于SVR建立了齿轮微观修形参数-振动响应预测模型,将电驱动桥齿轮传递误差、最大接触应力和螺旋线载荷分布系数作为优化目标;最后,引入带精英策略的快速非支配排序遗传算法(Non-dominated Sorting Genetic Algorithm,NSGA-Ⅱ),对齿轮的微观修形参数进行寻优。【结果】仿真结果表明,经过修形优化,传递误差降低了49%,最大接触应力降低了4%,载荷分布均匀,振动加速度峰值降低了93%。试验验证表明,在不同工况下,电驱动桥噪声均有所降低,降幅最大约4 dB(A)。研究为新能源汽车电驱动桥齿轮传动系统的减振降噪提供了思路和依据。
[Objective]Addressing the issue of vibration and noise suppression in electric drive axles for new energy vehicles and the limitations of gear modification based on engineering experience,a method for predicting vibration response in electric drive axles using support vector regression(SVR)was proposed.[Methods]Initially,a gear transmission system model for the electric drive axle was constructed,and its validity was confirmed through simulated contact spot analysis compared with test data.Subsequently,a prediction model of gear micro-modification parameters and vibration response was established based on SVR,targeting transmission error,maximum contact stress,and tooth load distribution coefficient of the electric drive axle gears.Finally,a non-dominated sorting genetic algorithm(NSGA-Ⅱ)with an elitist strategy was introduced to optimize the micro-modification parameters of the gears.[Results]Simulation results demonstrate that post-optimization modification leads to a 49%reduction in transmission error,a 4%decrease in maximum contact stress,improved uniform load distribution,and a 93%reduction in peak vibration acceleration.Test validation reveals a reduction in noise levels across various operating conditions,with the maximum noise drop being approximately 4 dB(A).This research provides insights and a basis for vibration and noise reduction in gear transmission systems of electric drive axles for new energy vehicles.
作者
黄俊明
张硕
兰常艳
徐敏敏
覃频频
HUANG Junming;ZHANG Shuo;LAN Changyan;XU Minmin;QIN Pinpin(School of Mechanical Engineering,Guangxi University,Nanning 530004,China;Guangxi Key Lab of Manufacturing System and Advanced Manufacturing Technology,Guangxi University,Nanning 530004,China;Fangsheng Axle(Liuzhou)Co.,Ltd.,Liuzhou 545006,China)
出处
《机械传动》
北大核心
2025年第10期104-112,共9页
Journal of Mechanical Transmission
基金
广西制造系统与先进制造技术重点实验室主任基金项目(22-035-4S014)
广西科技重大专项(桂科AA22068061)。
关键词
电驱动桥
微观修形
减振降噪
传递误差
支持向量回归
Electric drive axle
Micro-modification
Vibration and noise reduction
Transmission error
Support vector regression
